In the present study, estimating pan evaporation (Epan) was evaluated based on different input parameters: maximum and minimum temperatures, relative humidity, wind speed, bright sunshine hours. The techniques used for Epan were artificial neural network (ANN), wavelet-based ANN (WANN), radial function-based support vector machine (SVM-RF), linear SVM (SVM-LF), multi-linear regression (MLR) mod...

Evaporation, as a major component of the hydrologic cycle, plays a key role in water resources development and management in arid and semi-arid climatic regions. Although there are empirical formulas available, their performances are not all satisfactory due to the complicated nature of the evaporation process and the data availability. This paper explores evaporation estimation methods based o...

Accurate estimation of evaporation is important for design, planning and operation of water systems. In arid zones where water resources are scarce, the estimation of this loss becomes more interesting in the planning and management of irrigation practices. This paper investigates the ability of artificial neural networks (ANNs) technique to improve the accuracy of daily evaporation estimation....

Polyarteritis nodosa (PAN) is regarded rightly as the grandfather of the vasculitides. In this Grand Rounds, the case of a 30-year-old man with a 12-year illness is described. The patient presented with daily fevers, tachycardia, and cutaneous ulcers on his distal extremities. He eventually developed mononeuritis multiplex. Because of the striking pattern of his fevers, he was diagnosed for man...

The present study examined the relation between the big five personality traits and any lifetime cigarette use, progression to daily smoking, and smoking persistence among adults in the United States (US) over a ten-year period. Data were drawn from the Midlife Development in the US (MIDUS) I and II (N = 2101). Logistic regression was used to examine the relationship between continuously measur...

accurate estimation of evaporation is important for design, planning and operation of water systems. in arid zones where water resources are scarce, the estimation of this loss becomes more interesting in the planning and management of irrigation practices. this paper investigates the ability of artificial neural networks (anns) technique to improve the accuracy of daily evaporation estimation....